TY - JOUR
T1 - Examining the validity of the drivers of COVID-19 vaccination acceptance scale using Rasch analysis
AU - Fan, Chia Wei
AU - Chen, Jung Sheng
AU - Addo, Frimpong Manso
AU - Adjaottor, Emma Sethina
AU - Amankwaah, Gifty Boakye
AU - Yen, Cheng Fang
AU - Ahorsu, Daniel Kwasi
AU - Lin, Chung Ying
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - Background: To well control the pandemic of COVID-19, herd immunity should be achieved. However, people, especially those with better physical conditions (e.g., young adults), may not accept COVID-19 vaccines. Understanding university students’ willingness or reluctance to uptake COVID-19 vaccination is important. Aim: This study aimed to examine the psychometric properties of the DrVac-COVID19S, an instrument that helps assess motivations/drivers of COVID-19 vaccination uptake among university students. Research Design and Methods: Using convenience sampling and cross-sectional design, university students (930 from Taiwan [38.0% males] and 1,244 from Ghana [63.3% males]) completed the DrVac-COVID19S using an online survey (Taiwanese students) or paper-and-pen method (Ghanaian students). Rasch analysis was used to examine the psychometric properties of the DrVac-COVID19S. Results: All 12 items in the DrVac-COVID19S had a satisfactory fit in the Rasch models (infit MnSq = 0.74 to 1.49; outfit MnSq = 0.72 to 1.42). Moreover, the seven-point Likert scale used in the DrVac-COVID19S demonstrated monotonically increasing in their difficulties, which indicated the ordered category. Additionally, no differential item functioning was displayed in the DrVacCOVID-19S across Taiwanese and Ghanaian students. Conclusions: The DrVacCOVID-19S has good psychometric features to help healthcare providers assess individuals’ (especially university students) motivations or drivers to get the COVID-19 vaccination.
AB - Background: To well control the pandemic of COVID-19, herd immunity should be achieved. However, people, especially those with better physical conditions (e.g., young adults), may not accept COVID-19 vaccines. Understanding university students’ willingness or reluctance to uptake COVID-19 vaccination is important. Aim: This study aimed to examine the psychometric properties of the DrVac-COVID19S, an instrument that helps assess motivations/drivers of COVID-19 vaccination uptake among university students. Research Design and Methods: Using convenience sampling and cross-sectional design, university students (930 from Taiwan [38.0% males] and 1,244 from Ghana [63.3% males]) completed the DrVac-COVID19S using an online survey (Taiwanese students) or paper-and-pen method (Ghanaian students). Rasch analysis was used to examine the psychometric properties of the DrVac-COVID19S. Results: All 12 items in the DrVac-COVID19S had a satisfactory fit in the Rasch models (infit MnSq = 0.74 to 1.49; outfit MnSq = 0.72 to 1.42). Moreover, the seven-point Likert scale used in the DrVac-COVID19S demonstrated monotonically increasing in their difficulties, which indicated the ordered category. Additionally, no differential item functioning was displayed in the DrVacCOVID-19S across Taiwanese and Ghanaian students. Conclusions: The DrVacCOVID-19S has good psychometric features to help healthcare providers assess individuals’ (especially university students) motivations or drivers to get the COVID-19 vaccination.
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U2 - 10.1080/14760584.2022.2011227
DO - 10.1080/14760584.2022.2011227
M3 - Article
C2 - 34845953
AN - SCOPUS:85121689480
SN - 1476-0584
VL - 21
SP - 253
EP - 260
JO - Expert Review of Vaccines
JF - Expert Review of Vaccines
IS - 2
ER -